|Daniel Lustig, Ph.D.
Dan Lustig joined NVIDIA Research in December 2015. His PhD thesis focused on specifying and verifying microarchitectural enforcement of memory consistency models. He has also worked on GPU memory hierarchy design and spatial accelerator architectures.
Dan received his PhD from Princeton in November 2015 under the supervision of Margaret Martonosi. He received his MA from Princeton in 2011 and his BSE from the University of Pennsylvania in 2009. He also received an Intel PhD Fellowship in 2013.
|Research Interests: |
Computer architecture, memory consistency models, cache coherence, GPU programming, accelerator design, spatial architectures